Abstract: An interest degree determination device detects a gaze position of a first user included in a plurality of users on the basis of image information. When a second user other than the first user is present in the vicinity of the first user, the interest degree determination device determines whether the gaze position of the first user has been affected by the second user. The interest degree determination device stores a determination result of a determination unit and the gaze position of the first user in a storage unit so as to be associated with each other.

Abstract: A method of generating a 4D model includes capturing imagery of a catheter and a vessel as the catheter is directed through the vessel to a location of interest, wherein the catheter is disposed on a guidewire, constructing a 3D time varying reference curve describing a trajectory of the guidewire, and constructing a time varying 3D model of the artery using the reference curve.

Abstract: A method of tracking an object across a stream of images comprises determining a region of interest (ROI) bounding the object in an initial frame of an image stream. A HOG map is provided for the ROI by: dividing the ROI into an array of M×N cells, each cell comprising a plurality of image pixels; and determining a HOG for each of the cells. The HOG map is stored as indicative of the features of the object. Subsequent frames are acquired from the stream of images. The frames are scanned ROI by ROI to identify a candidate ROI having a HOG map best matching the stored HOG map features. If the match meets a threshold, the stored HOG map indicative of the features of the object is updated according to the HOG map for the best matching candidate ROI.

Abstract: Disclosed is a computer implemented method for identifying an object in a plurality of images. The method may include a step of receiving, through an input device, a delineation of the object in at least one image of the plurality of images. Further, the method may include a step of identifying, using the processor, an image region corresponding to the object in the at least one image based on the delineation. Furthermore, the method may include a step of tracking, using the processor, the image region across the plurality of images.

Abstract: According to some aspects, an information processing apparatus is provided. The information processing apparatus includes at least one processor configured to receive an image of a plurality of images. The information processing apparatus further includes at least one storage medium configured to store processor-executable instructions that, when executed by the at least one processor, perform a method. The method includes setting at least one axial direction in the image, wherein the image includes an analysis target. The method further includes determining motion information for the analysis target by analyzing motion of the analysis target to identify, with respect to the at least one axial direction, at least one of a motion amount of the analysis target and a motion direction of the analysis target.

Abstract: Described embodiments provide a method of generating an image of a region of interest of a target object. A plurality of concentric circular scan trajectories are determined to sample the region of interest. Each of the concentric circular scan trajectories have a radius incremented from an innermost concentric circular scan trajectory having a minimum radius to an outermost concentric circular scan trajectory having a maximum radius. A number of samples are determined for each of the concentric circular scan trajectories. A location of each sample is determined for each of the concentric circular scan trajectories. The locations of each sample are substantially uniformly distributed in a Cartesian coordinate system of the target object. The target object is iteratively rotated along each of the concentric circular scan trajectories and images are captured at the determined sample locations to generate a reconstructed image from the captured images.

Abstract: A notch detection system receives images of a sample from the imaging detector, in which the sample includes a notched surface and an un-notched surface bounded by a sidewall and further includes at least one notch known notch specifications. The images are generated such that illumination unobstructed by the sample is received by the detector and the sample prevents incident illumination from reaching the detector. The system further determines whether each image includes a notch, identifies the notched surface, and directs a sample positioner to position the sample with the notched surface in a selected direction when a notch is identified in at least one image of the one or more images.

Abstract: Embodiments can be used to synthesize physically plausible animations of target objects responding to new, previously unseen forces. Knowledge of scene geometry or target material properties is not required, and a basis set for creating realistic synthesized motions can be developed using only input video of the target object. Embodiments can enable new animation and video production techniques.

Abstract: An image generation device performs coordinate transformation, based on a coordinate transformation table, to a two-dimensional first image having a span in a horizontal direction and a vertical direction and acquired by overlooking and imaging an object from a first viewpoint at a first depression angle, and generates and outputs a second image which was obtained by overlooking the object from a second viewpoint which is different from the first viewpoint at a second depression angle which is different from the first depression angle. The coordinate transformation table is a table for transforming coordinates of a plurality of first selected pixels selected from a plurality of first pixels constituting the first image into coordinates of second selected pixels corresponding to a plurality of second pixels constituting the second image.

Abstract: Methods and systems for automatically mapping biopsy locations to pathology results. One system includes a server including an electronic processor and an interface for communicating with at least one data source and at least one pathology result source. The electronic processor is configured to receive an image from the at least one data source over the interface. The electronic processor is also configured to receive a biopsy location. The biopsy location includes a three-dimensional position mapped to a position within the image. The electronic processor is also configured to automatically locate an electronic pathology result for the biopsy location within the at least one pathology result source over the interface. The electronic processor is also configured to generate an electronic correlation between the biopsy location and the electronic pathology result. The electronic processor is also configured to display the image with the biopsy location marked within the image.

Abstract: The present invention provides a magnetophorisis measuring system, comprising a microscope device, a magnetic field generator, an image capturing unit, and a processing unit. The microscope device is utilized to magnify a sample liquid having a plurality of objects respectively having a plurality of magnetic particles. The magnetic field generator is utilized to provide an external magnetic field on the sample liquid such that the objects are moved by the external magnetic field. The image capturing unit is utilized to capture a dynamic image with respect to the fluid sample in a view field of the microscope device. The processing unit receives the dynamic image, automatically detects and locks moving objects, determines a motion status corresponding to each object, and quantifies the magnetic particles according to motion status of each object.

Abstract: A system for processing video signal information to identify those pixels associated with a moving object in the presence of platform and/or sensor pointing induced motion. Frame differencing with self-adjusting noise thresholds is implemented to detect pixels associated with objects that are in motion with respect to the background and a field-by-field motion pixel map of pixels associated with the moving object is generated. A two (2) step pixel grouping process is used where the first pass runs in real-time as the video signal is received and writes the links between pixel groups into entries in a table. The second pass operates on a smaller set of link data and only needs to reorder entries in the table.

Abstract: Exemplary system, method and computer-accessible medium for determining a difference(s) between two sets of subjects, can be provided. Using such exemplary system, method and computer-accessible medium, it is possible to receive first imaging information related to a first set of subjects of the two sets of the subjects, receive second imaging information related to a second set of subjects of the two sets of subjects, generate third information by performing a decomposition procedure(s) on the first imaging information and the second information, and determine the difference(s) based on the third information.

Abstract: Methods and systems for automatically determining image characteristics serving as a basis for a diagnosis associated with an image study type. One system includes a server including an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive an image study from the at least one data source over the interface. The image study being of the image study type and including a plurality of images. The electronic processor is also configured to determine an image characteristic for each of the plurality of images and determine whether each of the plurality of images was used to establish a diagnosis. The electronic processor is also configured to store the image characteristic for each of the plurality of images and an indicator of whether each of the plurality of images was used to establish the diagnosis in a data structure.

Abstract: Method for visual tracking of at least one object represented by a cluster of points with which information is associated, characterised in that it includes steps to: receive (E1) data representing a set of space-time events, determine (E2) the probability that an event in the set belongs to the cluster of points representing the at least one object, for each event in the received set, determine (E3) whether or not an event belongs to the cluster of points as a function of the determined probability for the event considered, for each event in the received set, update (E4) information associated with the cluster of points for at least one object, for each event for which it was determined in the previous step that it belongs to the cluster of points, calculate (E4, E5) the position, size and orientation of the at least one object as a function of the updated information.

Abstract: Methods and systems for automatically selecting an implant for a patient. One system includes a server including an electronic processor and an interface for communicating with at least one data source. The electronic processor is configured to receive at least one image of the patient from the data source over the interface. The electronic processor is also configured to receive an intended location of the implant with reference to the at least one image. The electronic processor is also configured to automatically determine an anatomical structure based on the at least one image. The electronic processor is also configured to determine a preference. The electronic processor is also configured to automatically select one or more suggested implants based on the intended location, the anatomical structure, and the preference. The electronic processor is also configured to display the one or more suggested implants through a graphical user interface.

Abstract: A method of generating a 4D model includes capturing imagery of a catheter and a vessel as the catheter is directed through the vessel to a location of interest, wherein the catheter is disposed on a guidewire, constructing a 3D time varying reference curve describing a trajectory of the guidewire, and constructing a time varying 3D model of the artery using the reference curve.

Abstract: Embodiments directed towards systems and methods for tracking a human face present within a video stream are described herein. In some embodiments, the exemplary illustrative methods and the exemplary illustrative systems of the present invention are specifically configured to process image data to identify and align the presence of a face in a particular frame.

Abstract: A method of reconstructing a 3-dimensional image in a proton transmission computerized tomography (CT) apparatus is disclosed. The method comprises the creation of a reconstruction matrix. The matrix is created by directing a plurality of particles to traverse the object; and for each particle, measuring the trajectory and energy of each particle before and after it has traversed the object; for each particle, calculating the water-equivalent path length within the object; and for each particle, calculating the positions at which it entered and exited the object; and adding the water-equivalent path length, entry and exit positions to the reconstruction matrix. This procedure is repeated from a plurality of angular positions surrounding an object to be imaged. Then, a spatially varying 2-dimensional filter function is applied to the reconstruction matrix. Subsequently, a correction factor is applied to the filtered reconstruction matrix to at least partially correct for the finite extent of the matrix.

Abstract: Systems and methods for generating corrected emission tomography images are provided. A method includes obtaining a reconstructed image based on emission tomography data of a head of a patient and defining a boundary region in the reconstructed image estimating a position of a skull of the patient in the reconstructed image. The method also includes generating a map of attenuation coefficient values for the reconstructed image based on the boundary region. The reconstructed image can then be adjusted based on the map. In the method, the attenuation coefficient values within the boundary region are selected to correspond to an attenuation coefficient value for bone and the attenuation coefficient values for the portion of the image surrounded by the boundary region are selected to correspond to an attenuation value for tissue.